| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Muskegon Lumberjacks | USHL | 59 | 27 | 34 | 61 | 1.034 | 0.6099 | 0.6428 | 3.1052 | 3.2728 |
| 2016-17 | Muskegon Lumberjacks | USHL | 57 | 24 | 27 | 51 | 0.895 | 0.5278 | 0.5293 | 2.6871 | 2.6950 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | North Dakota | D1 | NCHC | SR | 29 | 14 | 20 | 34 | 1.172 |
| 2019-20 | North Dakota | D1 | NCHC | JR | 35 | 12 | 16 | 28 | 0.800 |
| 2018-19 | North Dakota | D1 | NCHC | SO | 32 | 2 | 5 | 7 | 0.219 |
| 2017-18 | North Dakota | D1 | NCHC | FR | 26 | 5 | 3 | 8 | 0.308 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.